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NMT

Neural machine translation is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.

Papers

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Showing 1451–1460 of 1773 papers

TitleStatusHype
On the Copying Behaviors of Pre-Training for Neural Machine TranslationCode0
On the Copying Problem of Unsupervised NMT: A Training Schedule with a Language Discriminator LossCode0
Faithful Target Attribute Prediction in Neural Machine TranslationCode0
F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine TranslationCode0
Doubly-Trained Adversarial Data Augmentation for Neural Machine TranslationCode0
CantonMT: Cantonese to English NMT Platform with Fine-Tuned Models Using Synthetic Back-Translation DataCode0
On the Difficulty of Translating Free-Order Case-Marking LanguagesCode0
Calibrating Translation Decoding with Quality Estimation on LLMsCode0
Zero-shot Cross-lingual Transfer of Neural Machine Translation with Multilingual Pretrained EncodersCode0
Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine TranslationCode0
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